Empathic Communication and Implicit Bias in the Context of Cancer Among a Medical Student Sample.

Oncology clinicians often miss opportunities to communicate empathy to patients. The current study examined the relationship between implicit bias (based on cancer type and ethnicity) and medical students' empathic communication in encounters with standardized patients who presented as Hispanic (lung or colorectal) individuals diagnosed with cancer. Participants (101 medical students) completed the Implicit Association Test (IAT) to measure implicit bias based on cancer type (lung v. colorectal) and ethnicity (Hispanic v. non-Hispanic White). Empathic opportunities and responses (assessed by the Empathic Communication Coding System; ECCS) were evaluated in a mock consultation (Objective Structured Clinical Examination; OSCE) focused on smoking cessation in the context of cancer. Among the 241 empathic opportunities identified across the 101 encounters (M = 2.4), 158 (65.6%) received high empathy responses from the medical students. High empathy responses were most frequently used during challenge (73.2%) and emotion (77.3%) opportunities compared to progress (45.9%) opportunities. Higher levels of implicit bias against Hispanics predicted lower odds of an empathic response from the medical student (OR = 3.24, p = .04, 95% CI = 0.09-0.95). Further work is needed to understand the relationship between implicit bias and empathic communication and inform the development of interventions.

Audio delivery of health information: An NLP study of information difficulty and bias in listeners.

Health literacy is the ability to understand, process, and obtain health information and make suitable decisions about health care [3]. Traditionally, text has been the main medium for delivering health information. However, virtual assistants are gaining popularity in this digital era; and people increasingly rely on audio and smart speakers for health information. We aim to identify audio/text features that contribute to the difficulty of the information delivered over audio. We are creating a health-related audio corpus. We selected text snippets and calculated seven text features. Then, we converted the text snippets to audio snippets. In a pilot study with Amazon Mechanical Turk (AMT) workers, we measured the perceived and actual difficulty of the audio using the response of multiple choice and free recall questions. We collected demographic information as well as bias about doctors' gender, task preference, and health information preference. Thirteen workers completed thirty audio snippets and related questions. We found a strong correlation between text features lexical chain, and the dependent variables, and multiple choice response, percentage of matching word, percentage of similar word, cosine similarity, and time taken (in seconds). In addition, doctors were generally perceived to be more competent than warm. How warm workers perceive male doctors correlated significantly with perceived difficulty.

Investigating the Relationship between Resident Physician Implicit Bias and Language Use during a Clinical Encounter with Hispanic Patients.

Prior research suggests that the implicit biases of physicians are negatively associated with quality of medical care and patient satisfaction among minority patients. However, relatively little is known about how physicians express these subtle forms of bias in patient interactions. This study examined the implicit and explicit anti-Hispanic biases of 53 resident physicians and the relationship between anti-Hispanic bias and language use during outpatient medical appointments with 291 Hispanic patients. Physician implicit bias was positively associated with use of interrogatives and work-related words and negatively associated with the use of prepositions and relativity-related words (e.g., words related to time and the future). These findings contribute to the growing body of evidence suggesting that, in addition to nonverbal and paraverbal behaviors, providers may communicate implicit bias to patients through the words they use during a clinical visit.

Perceived discrimination in primary care: Does Payer mix matter?

INTRODUCTION: Previous literature has explored patient perceptions of discrimination by race and insurance status, but little is known about whether the payer mix of the primary care clinic (i.e., that is majority public insurance vs. majority private insurance clinics) influences patient perceptions of race- or insurance-based discrimination. METHODS: Between 2015-2017, we assessed patient satisfaction and perceived race- and insurance-based discrimination using a brief, anonymous post-clinic visit survey. RESULTS: Participants included 3,721 patients from seven primary care clinics-three public clinics and four private clinics. Results from unadjusted logistic regression models suggest higher overall reports of race- and insurance-based discrimination in public clinics compared with private clinics. In mulvariate analyses, increasing age, Black race, lower education and Medicaid insurance were associated with higher odds of reporting race- and insurance-based discrimination in both public and private settings. CONCLUSION: Reports of race and insurance discrimination are higher in public clinics than private clinics. Sociodemographic variables, such as age, Black race, education level, and type of insurance also influence reports of race- and insurance-based discrimination in primary care.

School Mental Health Professionals' Knowledge of Stereotypes and Implicit Bias Toward Black and Latinx Youths.

Clinician bias is a contributor to health care inequities, but research on racial-ethnic bias among mental health professionals, especially toward minoritized youths, is limited. This column describes two studies involving mental health clinicians in schools, where most youths access mental health services. Study 1 used a mixed-methods approach to identify stereotypes about Black and Latinx youths salient to clinicians (e.g., academic failure; anger and aggression). In study 2, the authors developed four Implicit Association Tests to assess clinicians' implicit prejudice and stereotyping of Black and Latinx youths and found pro-White and anti-Black/Latinx bias at levels similar to those of other health care providers and the general population.

Development of a Multicomponent Intervention to Decrease Racial Bias Among Healthcare Staff.

BACKGROUND: Real or perceived discrimination contributes to lower quality of care for Black compared to white patients. Some forms of discrimination come from non-physician and non-nursing (non-MD/RN) staff members (e.g., receptionists). METHODS: Utilizing the Burgess Model as a framework for racial bias intervention development, we developed an online intervention with five, 30-min modules: (1) history and effects of discrimination and racial disparities in healthcare, (2) implicit bias and how it may influence interactions with patients, (3) strategies to handle stress at work, (4) strategies to improve communication and interactions with patients, and (5) personal biases. Modules were designed to increase understanding of bias, enhance internal motivation to overcome bias, enhance emotional regulation skills, and increase empathy in patient interactions. Participants were non-MD/RN staff in nine primary care clinics. Effectiveness of the intervention was assessed using Implicit Association Test and Symbolic Racism Scale, to measure implicit and explicit racial bias, respectively, before and after the intervention. Acceptability was assessed through quantitative and qualitative feedback. RESULTS: Fifty-eight non-MD/RN staff enrolled. Out of these, 24 completed pre- and post-intervention assessments and were included. Among participants who reported characteristics, most were Black, with less than college education and average age of 43.2 years. The baseline implicit bias d-score was 0.22, indicating slight pro-white bias. After the intervention, the implicit bias score decreased to -0.06 (p=0.01), a neutral score indicating no pro-white or Black bias. Participant rating of the intervention, scored from 1 (strongly disagree) to 5 (strongly agree), for questions including whether "it was made clear how to apply the presented content in practice" and "this module was worth the time spent" was ≥4.1 for all modules. CONCLUSIONS: There was a decrease in implicit pro-white bias after, compared with before, the intervention. Intervention materials were highly rated.

A Brief Online Implicit Bias Intervention for School Mental Health Clinicians.

Clinician bias has been identified as a potential contributor to persistent healthcare disparities across many medical specialties and service settings. Few studies have examined strategies to reduce clinician bias, especially in mental healthcare, despite decades of research evidencing service and outcome disparities in adult and pediatric populations. This manuscript describes an intervention development study and a pilot feasibility trial of the Virtual Implicit Bias Reduction and Neutralization Training (VIBRANT) for mental health clinicians in schools-where most youth in the U.S. access mental healthcare. Clinicians (N = 12) in the feasibility study-a non-randomized open trial-rated VIBRANT as highly usable, appropriate, acceptable, and feasible for their school-based practice. Preliminarily, clinicians appeared to demonstrate improvements in implicit bias knowledge, use of bias-management strategies, and implicit biases (as measured by the Implicit Association Test [IAT]) post-training. Moreover, putative mediators (e.g., clinicians' VIBRANT strategies use, IAT D scores) and outcome variables (e.g., clinician-rated quality of rapport) generally demonstrated correlations in the expected directions. These pilot results suggest that brief and highly scalable online interventions such as VIBRANT are feasible and promising for addressing implicit bias among healthcare providers (e.g., mental health clinicians) and can have potential downstream impacts on minoritized youth's care experience.

Implicit biases in healthcare: implications and future directions for gynecologic oncology.

Health disparities have been found among patients with gynecologic cancers, with the greatest differences arising among groups based on racial, ethnic, and socioeconomic factors. Although there may be multiple social barriers that can influence health disparities, another potential influence may stem from healthcare system factors that unconsciously perpetuate bias toward patients who are racially and socioeconomically disadvantaged. More recent research suggested that providers hold these implicit biases (automatic and unconscious attitudes) for stigmatized populations with cancer, with emerging evidence for patients with gynecologic cancer. These implicit biases may guide providers' communication and medical judgments, which, in turn, may influence the patient's satisfaction with and trust in the provider. This narrative review consolidated the current research on implicit bias in healthcare, with a specific emphasis on oncology professionals, and identified future areas of research for examining and changing implicit biases in the field of gynecologic oncology.

The Relationship Between Racial Prejudice and Cardiovascular Disease Mortality Risk at the State and County Level.

BACKGROUND: Robust evidence shows that perceived discrimination among stigmatized groups is associated with negative health outcomes. However, little work has examined whether holding prejudiced attitudes toward others is associated with health risks for prejudiced individuals. PURPOSE: The study is a test of the hypothesis that holding prejudicial attitudes has negative health implications for both the holders and targets of prejudicial attitudes. METHODS: The project connected data (2003-2015) at the state and county levels on average explicit and implicit prejudice held by White, Black, and Native American respondents from Project Implicit with data on cardiovascular disease (CVD) mortality for White, Black, and Native American individuals from the CDC Wonder database. Separate analyses regressed implicit and explicit prejudice on CVD mortality risk for White, Black, and Native American individuals, respectively. RESULTS: At the state level, among White individuals, explicit prejudice toward Blacks (ß = .431, p =.037) and implicit prejudice toward Native Americans (ß = .283, p = .045) were positively associated with greater CVD mortality for Whites. At the county level, White individuals' implicit prejudice toward Blacks (ß =.081, p = .015) and Black individuals' implicit prejudice toward Whites (ß = -.066, p = .018) were associated with greater CVD mortality for Whites. Also, at the county-level, among Black individuals, higher implicit (ß = -.133, p < .001) and explicit (ß = -.176, p < .001) prejudice toward Whites predicted CVD mortality for Blacks. Moreover, explicit prejudice held by White individuals was positively associated with Blacks' county-level CVD deaths (ß = .074, p = .036). CONCLUSIONS: This evidence suggests that across racial groups, holding racial prejudice is associated with CVD mortality risk for both the prejudiced and the stigmatized groups. Future research should verify the reliability of this potential public health effect with additional work explicating moderators and mediators to inform surveillance and interventions.

Clinician Practice Patterns That Result in the Diagnosis of Coccidioidomycosis Before or During Hospitalization.

BACKGROUND: Coccidioidomycosis (CM) is common and important within endemic regions, requiring specific testing for diagnosis. Long delays in diagnosis have been ascribed to ambulatory clinicians. However, how their testing practices have impacted patient care has not been systematically unexplored. METHODS: We analyzed practice patterns for CM diagnoses over 3 years within a large Arizona healthcare system, including diagnosis location, patient characteristics, and care-seeking patterns associated with missed diagnosis. RESULTS: For 2043 CM diagnoses, 72.9% were made during hospital admission, 21.7% in ambulatory clinics, 3.2% in emergency units, and only 0.5% in urgent care units. A 40.6% subgroup of hospitalized patients required neither intensive care unit or hospital-requiring procedures, had a median length of stay of only 3 days, but still incurred both substantial costs ($27.0 million) and unnecessary antibiotic administrations. Prior to hospital diagnosis (median of 32 days), 45.1% of patients had 1 or more visits with symptoms consistent with CM. During those visits, 71.3% were not tested for CM. Diagnoses were delayed a median of 27 days. CONCLUSIONS: Lack of testing for CM in ambulatory care settings within a region endemic for CM resulted in a large number of hospital admissions, attendant costs, and unneeded antibacterial drug use, much of which would otherwise be unnecessary. Improving this practice is challenging since many clinicians did not train where CM is common, resulting in significant inertia to change. Determining the best way to retrain clinicians to diagnose CM earlier is an opportunity to explore which strategies might be the most effective.

Health Care Providers' Negative Implicit Attitudes and Stereotypes of American Indians.

Research suggests that implicit biases held by health care providers may play a role in perpetuating health disparities. However, minimal work has examined the presence of providers' negative implicit attitudes and stereotypes of American Indians. The current work examined implicit attitudes and stereotypes toward American Indians among 111 health care providers using the Implicit Association Test. Results revealed evidence of negative implicit attitudes toward American Indians. In addition, results showed that providers implicitly stereotype American Indians as noncompliant. This effect was moderated by self-reports of cultural competency and implicit bias training experience such that those reporting cultural competency or implicit bias training reported lower implicit stereotyping than those reporting no cultural competency or implicit bias training. Moreover, medical students reported lower implicit stereotyping than medical residents and practicing physicians. Implications of providers' implicit biases on treatment of American Indian patients and implicit bias reduction research are discussed.

Race and Gender-Based Perceptions of Older Adults: Will the Youth Lead the Way?

BACKGROUND: Older individuals encounter the greatest racial/gender biases. It is unknown whether younger generations, who often lead culture shifts, have racial and gender biases against older populations. METHODS: Using Amazon's Mechanical Turk's crowdsourcing, we identified how an individual's race and gender are associated with perceptions of individuals aged mid-60s. Participants were asked to rate photograph appearances on Likert Scale (1-10). Interactions between participant and photograph race and gender were assessed with mixed effects models. Delta represents rating differences (positive value higher rating for Whites or women, negative value higher rating for African-Americans or men). RESULTS: Among 1563 participants (mean 35 years ± 12), both non-Hispanic White (WP) and all Other race/ethnicity (OP) participants perceived African-American photos as more trustworthy [Delta WP -0.60(95%CI-0.83, - 0.37); Delta OP - 0.51(- 0.74,-0.28), interaction p = 0.06], more attractive [Delta non-Hispanic White participants - 0.63(- 0.97, - 0.29); Delta Other race/ethnicity participants - 0.40 (- 0.74, - 0.28), interaction p < 0.001], healthier [Delta WP -0.31(- 0.53, - 0.08); Delta OP -0.24(- 0.45, -0.03), interaction p = 1.00], and less threatening than White photos [Delta WP 0.79(0.36,1.22); Delta OP 0.60(0.17,1.03), interaction p < 0.001]. Compared with OP, WP perceived African-American photos more favorably for intelligence (interaction p < 0.001). Both genders perceived photos of women as more trustworthy [Delta Women Participants (WmP) 0.50(0.27,0.73); Delta Men Participants(MnP) 0.31(0.08,0.54); interaction p < 0.001] and men as more threatening [Delta WmP -0.84(-1.27, -0.41), Delta MnP - 0.77(- 1.20, - 0.34), interaction p = 0.93]. Compared with MnP, WmP perceived photos of women as happier and more attractive than men (interaction p < 0.001). Compared with WmP, MnP perceived men as healthier than women (interaction p < 0.001). CONCLUSIONS: Among a young generation, older African-Americans were perceived more favorably than Whites. Gender perceptions followed gender norms. This suggests a decline in implicit bias against older minorities, but gender biases persist. Future work should investigate whether similar patterns are observed in healthcare.

Testing active learning workshops for reducing implicit stereotyping of Hispanics by majority and minority group medical students.

The present research tested if having first year medical students complete active learning workshops would reduce their implicit stereotyping of Hispanics as medically noncompliant. The workshops were tested with 78-majority (White) group, 16-target minority (Hispanic, African-American and American-Indian) group, and 42-non-target minority (Asian-American and foreign born students from East Asia and Southeast Asia) group students in the 2018 and 2021 classes in the American Southwest. Prior to the workshops, students completed an implicit association test (IAT), and then participated in two workshops that covered the psychology of intergroup bias, the role of implicit bias in patient care, and activities for learning six strategies for controlling the implicit stereotyping of patients. The results showed that before the workshops, the level of implicit stereotyping of Hispanics was significant for the majority and non-target minority group students, but it was not significant for the target minority group students. After the workshops, target minority students again showed no bias, and implicit stereotyping was significantly lower for the majority group students, but not for the non-target minority students. The results suggest that the workshops may have been effective for majority group and target minority group students, but that more cultural tailoring of the materials and activities may be necessary to address implicit bias among some minority group medical students.

Association of Gender and Race With Allocation of Advanced Heart Failure Therapies.

Importance: Racial bias is associated with the allocation of advanced heart failure therapies, heart transplants, and ventricular assist devices. It is unknown whether gender and racial biases are associated with the allocation of advanced therapies among women. Objective: To determine whether the intersection of patient gender and race is associated with the decision-making of clinicians during the allocation of advanced heart failure therapies. Design, Setting, and Participants: In this qualitative study, 46 US clinicians attending a conference for an international heart transplant organization in April 2019 were interviewed on the allocation of advanced heart failure therapies. Participants were randomized to examine clinical vignettes that varied 1:1 by patient race (African American to white) and 20:3 by gender (women to men) to purposefully target vignettes of women patients to compare with a prior study of vignettes of men patients. Participants were interviewed about their decision-making process using the think-aloud technique and provided supplemental surveys. Interviews were analyzed using grounded theory methodology, and surveys were analyzed with Wilcoxon tests. Exposure: Randomization to clinical vignettes. Main Outcomes and Measures: Thematic differences in allocation of advanced therapies by patient race and gender. Results: Among 46 participants (24 [52%] women, 20 [43%] racial minority), participants were randomized to the vignette of a white woman (20 participants [43%]), an African American woman (20 participants [43%]), a white man (3 participants [7%]), and an African American man (3 participants [7%]). Allocation differences centered on 5 themes. First, clinicians critiqued the appearance of the women more harshly than the men as part of their overall impressions. Second, the African American man was perceived as experiencing more severe illness than individuals from other racial and gender groups. Third, there was more concern regarding appropriateness of prior care of the African American woman compared with the white woman. Fourth, there were greater concerns about adequacy of social support for the women than for the men. Children were perceived as liabilities for women, particularly the African American woman. Family dynamics and finances were perceived to be greater concerns for the African American woman than for individuals in the other vignettes; spouses were deemed inadequate support for women. Last, participants recommended ventricular assist devices over transplantation for all racial and gender groups. Surveys revealed no statistically significant differences in allocation recommendations for African American and white women patients. Conclusions and Relevance: This national study of health care professionals randomized to clinical vignettes that varied only by gender and race found evidence of gender and race bias in the decision-making process for offering advanced therapies for heart failure, particularly for African American women patients, who were judged more harshly by appearance and adequacy of social support. There was no associated between patient gender and race and final recommendations for allocation of advanced therapies. However, it is possible that bias may contribute to delayed allocation and ultimately inequity in the allocation of advanced therapies in a clinical setting.

Applied Racial/Ethnic Healthcare Disparities Research Using Implicit Measures.

Many healthcare disparities studies use the Implicit Association Test (IAT) to assess bias. Despite ongoing controversy around the IAT, its use has enabled researchers to reliably document an association between provider implicit prejudice and provider-to-patient communication (provider communication behaviors and patient reactions to them). Success in documenting such associations is likely due to the outcomes studied, study settings, and data structure unique to racial/ethnic healthcare disparities research. In contrast, there has been little evidence supporting the role of providers' implicit bias in treatment recommendations. Researchers are encouraged to use multiple implicit measures to further investigate how, why, and under what circumstances providers' implicit bias predicts provider-to-patient communication and treatment recommendations. Such efforts will contribute to the advancement of both basic social psychology/social cognition research and applied health disparities research: a better understanding of implicit social cognition and a more comprehensive identification of the sources of widespread racial/ethnic healthcare disparities, respectively.

Does Race Influence Decision Making for Advanced Heart Failure Therapies?

Background Race influences medical decision making, but its impact on advanced heart failure therapy allocation is unknown. We sought to determine whether patient race influences allocation of advanced heart failure therapies. Methods and Results Members of a national heart failure organization were randomized to clinical vignettes that varied by patient race (black or white man) and were blinded to study objectives. Participants (N=422) completed Likert scale surveys rating factors for advanced therapy allocation and think-aloud interviews (n=44). Survey results were analyzed by least absolute shrinkage and selection operator and multivariable regression to identify factors influencing advanced therapy allocation, including interactions with vignette race and participant demographics. Interviews were analyzed using grounded theory. Surveys revealed no differences in overall racial ratings for advanced therapies. Least absolute shrinkage and selection operator regression selected no interactions between vignette race and clinical factors as important in allocation. However, interactions between participants aged ≥40 years and black vignette negatively influenced heart transplant allocation modestly (-0.58; 95% CI, -1.15 to -0.0002), with adherence and social history the most influential factors. Interviews revealed sequential decision making: forming overall impression, identifying urgency, evaluating prior care appropriateness, anticipating challenges, and evaluating trust while making recommendations. Race influenced each step: avoiding discussing race, believing photographs may contribute to racial bias, believing the black man was sicker compared with the white man, developing greater concern for trust and adherence with the black man, and ultimately offering the white man transplantation and the black man ventricular assist device implantation. Conclusions Black race modestly influenced decision making for heart transplant, particularly during conversations. Because advanced therapy selection meetings are conversations rather than surveys, allocation may be vulnerable to racial bias.

Implicit bias toward cervical cancer: Provider and training differences.

OBJECTIVE: Implicit prejudice and stereotyping may exist in health care providers automatically without their awareness. These biases can correlate with outcomes that are consequential for the patient. This study examined gynecologic oncology care providers' implicit prejudice and stereotyping toward cervical cancer. METHODS: Members of professional gynecologic oncology organizations were asked to complete two Implicit Association Tests to determine if they implicitly associate cervical cancer with feelings of anger (prejudice) and beliefs about culpability for the disease (stereotypes), compared to ovarian cancer. Linear models and Student t-tests examined average levels of implicit bias and moderators of the implicit bias effects. RESULTS: One-hundred seventy-six (132 female, 43 male, 1 nonresponse; X¯age = 39.18 years, SDage = 10.58 years) providers were recruited and the final sample included 151 participants (93 physicians and 58 nurses, X¯age = 38.93, SDage = 10.59). Gynecologic oncology providers showed significant levels of implicit prejudice, X¯â€¯= 0.17, SD = 0.47, 95% CI: (0.10, 0.25), toward cervical cancer patients. They also showed significant levels of implicit stereotyping of cervical cancer patients, X¯â€¯= 0.15, SD = 0.42, 95% CI: (0.08, 0.21). Whereas physicians did not demonstrate significant levels of implicit bias, nurses demonstrated greater levels of implicit prejudice and implicit stereotyping. Providers without cultural competency/implicit bias training demonstrated greater bias than those who had completed such training (p < .05). CONCLUSIONS: This study provides the first evidence that gynecologic oncology providers hold implicit biases related to cervical cancer. Interventions may be designed to target specific groups in gynecologic oncology to improve interactions with patients.

Exploring the Association of Healthcare Worker Race and Occupation with Implicit and Explicit Racial Bias.

BACKGROUND: Racial bias is associated with suboptimal healthcare treatment for minorities. Research focuses on bias among physicians rather than non-physician healthcare staff (e.g., receptionists). Patients spend considerable amounts of time with non-physician staff. Therefore, we investigate differences in implicit and explicit racial bias by healthcare staff race and occupation using the Implicit Association Test and Modern Racism Scale, respectively. METHODS: Staff (n = 107) were recruited using the Alabama based Primary Care Research Coalition. Occupation was categorized into "medical doctors/registered nurses" (MD/RN) and "non-MD/RN" (e.g., receptionists). RESULTS: Implicit bias scores were higher among whites compared with blacks (0.62, -0.04, respectively; p < 0.01). Among whites, non-MD/RNs demonstrated more pro-white implicit bias compared with MD/RNs (0.67, 0.44, respectively; p < 0.01). Whites had higher explicit bias scores than blacks (17.7, 12.3, respectively; p < 0.01). CONCLUSION: Non-MD/RNs should not be overlooked for cultural competency training, and efforts are needed to reduce racial bias among healthcare workers identified as having higher levels of bias.

Temporal Trends in Contemporary Use of Ventricular Assist Devices by Race and Ethnicity.

BACKGROUND: The proportion of racial/ethnic minorities receiving ventricular assist devices (VADs) has previously been less than expected. It is unclear if trends have changed since the broadening of access to insurance in 2014 and the rapid adoption of VAD technology. METHODS AND RESULTS: Using the Interagency Registry of Mechanically Assisted Circulatory Support, we analyzed time trends by race/ethnicity for 10 795 patients (white, 67.4%; African-American, 24.8%; Hispanic, 6.3%; Asian, 1.5%) who had a VAD implanted between 2012 and 2015. Linear models were fit to the annual census-adjusted rate of VAD implantation for each racial/ethnic group, stratified by sex and age group. From 2012 to 2015, African-Americans had an increase in the census-adjusted annual rate of VAD implantation per 100 000 (0.26 [95% confidence interval, 0.17-0.34]) while other ethnic groups exhibited no significant changes (white: 0.06 [-0.03 to 0.14]; Hispanic: 0.04 [-0.05 to 0.12]; Asian: 0.04 [-0.04 to 0.13]). Stratified by sex, rates increased in both African-American men and women (P<0.05), but the change in rate was highest among African-American men (men 0.37 [0.28-0.46]; women 0.16 [0.07-0.25]; interaction with sex P=0.004). Stratified by age group, rates increased in African-Americans aged 40 to 69 years and Asians aged 50 to 59 years (P<0.05). The observed differential change in VAD implantation rate by age group was significant among African-Americans (interaction with age, P<0.01) and Asians (interaction with age, P=0.02). CONCLUSIONS: From 2012 to 2015, VAD implantation rates increased among African-Americans but not other racial/ethnic groups. The greatest increase in rate was observed among middle-aged African-American men, suggesting a decline in racial disparities. Further investigation is warranted to reduce disparities among women and older racial/ethnic minorities.